Dr. Marjan Askari is an assistant professor at the Erasmus School of Health Policy and Management since 2017. She has a background in computer science and medical informatics. Her research…
Dr. Marjan Askari is an assistant professor at the Erasmus School of Health Policy and Management since 2017. She has a background in computer science and medical informatics. Her research focusses on medical informatics, specifically on health services innovation and IT and e-health, on among other things clinical decision support systems, patient empowerment; self-management using IT; prognostic models and e-coaching.
Previously she has worked at Utrecht University in the health information science group, where she was the coordinator of the bachelor thesis, the master course ‘Medical informatics’, and the the bachelor courses ‘Life sciences and health informatics’ and ‘Information Security’. Prior to that she was a researcher at the University of Amsterdam / Academic Medical Center working on various projects for improving elderly care and patient safety at the ICU/emergency department and primary care using information technology.
PROFIT: PRevention Of Falls using IT; ZONMW (projectnummer: 300020010).
Ehealth for elderly: ERASMUS; ZONMW.
ICOVE: Ontwikkeling van een beslissingsondersteuningssysteem voor huisartsenpraktijken en de tweede lijn met behulp van kwaliteitsindicatoren. Kring OuderenZorg AMC en partners.
Askari M, Wierenga PC, Eslami S, et al. Assessing quality of care of elderly patients using the ACOVE quality indicator set: a systematic review. PLoS One. 2011;6(12):e28631. doi: 10.1371/journal.pone.0028631.
Askari M, Westerhof R, Eslami S, et al. A combined disease management and process modeling approach for assessing and improving care processes: a fall management case-study. Int J Med Inform. 2013 Oct;82(10):1022-33. doi: 10.1016/j.ijmedinf.2013.06.011.
Askari M1, Eslami S, Louws M, Wierenga PC, Dongelmans DA, Kuiper RA, Abu-Hanna A. Frequency and nature of drug-drug interactions in the intensive care unit. Pharmacoepidemiol Drug Saf. 2013 Apr;22(4):430-7. doi: 10.1002/pds.3415.
Meulendijk MC, Spruit MR, Willeboordse F, Numans ME, Brinkkemper S, Knol W, Jansen PA, Askari M. Efficiency of Clinical Decision Support Systems Improves with Experience. J Med Syst. 2016 Apr;40(4):76. doi: 10.1007/s10916-015-0423-z.
Eslami S1, Askari M, Medlock S, et al. From assessment to improvement of elderly care in general practice using decision support to increase adherence to ACOVE quality indicators: study protocol for randomized control trial. Trials. 2014 Mar 19;15:81. doi: 10.1186/1745-6215-15-81.
Medlock S, Opondo D, Eslami S, Askari M, et. al. LERM (Logical Elements Rule Method): a method for assessing and formalizing clinical rules for decision support. Int J Med Inform. 2011 Apr;80(4):286-95. doi: 10.1016/j.ijmedinf.2011.01.014.
Medlock S, Eslami S, Askari M, Arts DL, Sent D, de Rooij SE, Abu-Hanna A. Health information-seeking behavior of seniors who use the Internet: a survey. J Med Internet Res. 2015 Jan 8;17(1):e10. doi: 10.2196/jmir.3749.
S. Medlock, J.L. Parlevliet, D. Sent, S. Eslami, M. Askari, D.L. Arts, J.B. Hoekstra, S.E. de Rooij & A. Abu-Hanna (2018). An email-based intervention to improve the number and timeliness of letters sent from the hospital outpatient clinic to the general practitioner: A pair-randomized controlled trial. PLoS One (print), Oct 23 (12(10)). doi: 10.1371/journal.pone.0185812
S. Medlock, S. Eslami, M. Askari, D.L. Arts, E.M. van de Glind, H.J. Brouwer, H.C. van Weert, S.E. de Rooij & A. Abu-Hanna (2018). For which clinical rules do doctors want decision support, and why? A survey of Dutch general practitioners. Health Informatics Journal, Nov 1. doi: 10.1177/1460458217740407
S. Abedian, E. Bitaraf & M. Askari (2018). Advantages of a Web-Based Real-Time Bed-Management System for Hospital Admission Monitoring in Iran. In Studies in Health Technology and Informatics (pp. 536-540)
J. van der zweth, M. Askari, M. Spruit & C. Nimwegen (2018). Devices used for non-invasive tele homecare for cardiovascular patients : A systematic literature review. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (pp. 300-307)